PLAY PODCASTS
161 | Secure AI Model Deployment: Model Security Vs Commercialization | Navigating AI Hype with Sahil Agarwal from Enkrypt AI
Season 1 · Episode 161

161 | Secure AI Model Deployment: Model Security Vs Commercialization | Navigating AI Hype with Sahil Agarwal from Enkrypt AI

Failing to Success · Chad Kaleky

August 23, 202312m 22sExplicit

Audio is streamed directly from the publisher (pdcn.co) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.

Show Notes

🚀 Navigating AI Hype: Amidst the AI buzz, distinguishing between genuine technology builders and trend exploiters is crucial for long-term success.

🌐 Future of Machine Learning: As AI becomes an integral part of human workflows, establishing secure infrastructure for seamless integration and preventing misuse is vital.

🔒 Balancing Security and Commerce: Protecting AI models while enabling enterprise usage ensures model providers' IP remains secure while enabling monetization.

➡️ Book a Call with Chad

In this episode 161 of "Failing to Success", Sahil Agarwal, Co-founder and CEO of Enkrypt AI, shares insights into the challenges and solutions around AI model deployment. Amidst the AI buzz, Sahil emphasizes the importance of distinguishing genuine technology development from opportunism. He discusses the necessity of creating secure infrastructures for integrating AI into workflows and maintaining the balance between model security and commercialization.

SUBSCRIBE TO THE PODCAST ON YOUTUBE

Listen on:

APPLE PODCASTS

SPOTIFY

CASTBOX

PODCAST ADDICT

GOOGLE PODCASTS

Add us on:

INSTAGRAM

TIKTOK

TWITTER

LINKEDIN

Chapters:

00:00:00 Intro

00:00:18 AI Is The New Crypto

00:04:01 AI IP Protection

00:08:02 The Inspiration

00:10:14 Raising Capital

00:11:14 Contact Sahil

AI model deployment, model security, data privacy, AI innovation, technology trends, secure AI integration, balancing security and commerce, AI workflow integration, future of work, AI challenges